2005
DOI: 10.1016/j.microrel.2005.07.097
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Dc and low frequency noise analysis of hot-carrier induced degradation of low complexity 0.13 μm CMOS bipolar transistors

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Cited by 2 publications
(8 citation statements)
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“…However, at higher biasing, the injection current dominates, and the intrinsic (Hooge) noise in the emitter resistance or injection current takes over the GR noise, resulting in a linear (or nearly) dependence S I C ∝I C and eventually a decrease of normalized noise S norm =S I C /I C 2 can be observed at high bias of BJT. Such cross-over between the noise sources in BJT is reported in [21], for example, when the base current was varied over 2-3 decades, and the cross-over causes a bias-dependent variation for K F , as illustrated earlier in Figure 2 with the solid diamonds labeled as "S I B ∝I B 1.2 ". A portion of these data is presented later in Figure 6 as function of the base DC current.…”
Section: Iii3 Crossover Between Different Noise Sources In Bjtmentioning
confidence: 64%
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“…However, at higher biasing, the injection current dominates, and the intrinsic (Hooge) noise in the emitter resistance or injection current takes over the GR noise, resulting in a linear (or nearly) dependence S I C ∝I C and eventually a decrease of normalized noise S norm =S I C /I C 2 can be observed at high bias of BJT. Such cross-over between the noise sources in BJT is reported in [21], for example, when the base current was varied over 2-3 decades, and the cross-over causes a bias-dependent variation for K F , as illustrated earlier in Figure 2 with the solid diamonds labeled as "S I B ∝I B 1.2 ". A portion of these data is presented later in Figure 6 as function of the base DC current.…”
Section: Iii3 Crossover Between Different Noise Sources In Bjtmentioning
confidence: 64%
“…The areal dependence with increasing normalized noise in npn BJTs with smaller emitter area A E is shown in Figure 2, using the SPICE parameter K F defined from The data for more than 150 devices are collected from [10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27], and shown in Figure 2 with some points omitted for clarity. Since the numbers spread over several decades, we use geometric averaging technique [28] to extract the trend in the data from the product A E ×K F ; and the trend is A E ×K F ≈5.6×10 -9 µm 2 with logarithmic standard deviation of σ dB =3.4dB.…”
Section: Noise In Bjtmentioning
confidence: 99%
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